Image processing device, imaging device, and image processing method

ABSTRACT

A vehicle body area detection unit detects a vehicle body area of a vehicle from an image signal. A license plate area detection unit detects a license plate area of the vehicle from the image signal. A vehicle body area image processing unit performs processing of the image signal corresponding to the detected vehicle body area. A license plate area image processing unit performs processing different from the processing of the image signal corresponding to the vehicle body area on the image signal corresponding to the detected license plate area. A synthesis unit synthesizes the processed image signal corresponding to the vehicle body area and the processed image signal corresponding to the license plate area.

CROSS REFERENCE TO RELATED APPLICATIONS

This application is a continuation under 35 U.S.C. § 120 of U.S. patentapplication Ser. No. 15/540,597 entitled “IMAGE PROCESSING DEVICE,IMAGING DEVICE, AND IMAGE PROCESSING METHOD,” which entered the U.S.National Stage on Jun. 29, 2017, under 35 U.S.C. § 371, of InternationalApplication No. PCT/JP2015/079798 filed in the Japanese Patent Office onOct. 22, 2015, which claims the benefit of priority of Japanese PatentApplication No. JP2015-002390 filed in the Japanese Patent Office onJan. 8, 2015, each of which is hereby incorporated by reference in itsentirety. U.S. patent application Ser. No. 15/540,597 issued as U.S.Pat. No. 10,217,034 on Feb. 26, 2019.

TECHNICAL FIELD

The present technology relates to an image processing device. In detail,this relates to the image processing device, the imaging device, and theimage processing method used in a monitoring camera.

BACKGROUND ART

Conventionally, a monitoring device which obtains a characteristic of avehicle to specify the vehicle is used as a monitoring device of thevehicle. For example, a monitoring device which detects a position of alicense plate of the vehicle and obtains a color of a vehicle body onthe basis of the position of the license plate to specify the vehicle issuggested (for example, refer to Patent Document 1).

CITATION LIST Patent Document

-   Patent Document 1: Japanese Patent Application Laid-Open No.    2006-201817

SUMMARY OF THE INVENTION Problems to be Solved by the Invention

In the above-described conventional technology, the detected position ofthe license plate is used only for setting a vehicle body colordiscriminating area for specifying the color of the vehicle body. Thatis to say, special processing is not performed for a license plate area.Therefore, the conventional technology has a problem that only the colorof the vehicle body is detected and a process of improving reading ofthe license plate indispensable for specifying the vehicle is notperformed.

The present technology is achieved in view of such a condition and anobject thereof is to improve visibility of the license plate and colorreproducibility of the vehicle body for easily reading the license plateand obtaining the color of the vehicle body.

Solutions to Problems

The present technology is achieved for solving the above-describedproblem, and a first aspect thereof is an image processing deviceprovided with a vehicle body area detection unit which detects a vehiclebody area of a vehicle from an image signal, a license plate areadetection unit which detects a license plate area of the vehicle fromthe image signal, a vehicle body area image processing unit whichperforms processing of the image signal corresponding to the detectedvehicle body area, a license plate area image processing unit whichperforms processing different from the processing of the image signalcorresponding to the vehicle body area on the image signal correspondingto the detected license plate area, and a synthesis unit whichsynthesizes the processed image signal corresponding to the vehicle bodyarea and the processed image signal corresponding to the license platearea. With this arrangement, there is an effect that differentprocessing is performed for the image signal corresponding to thelicense plate area and the image signal corresponding to the vehiclebody area.

Also, in the first aspect, the license plate area image processing unitmay perform luminance signal conversion processing to convert the imagesignal corresponding to the license plate area to a luminance signalcorresponding to the license plate area and edge enhancement processingto enhance an edge portion of the image in the luminance signal. Withthis arrangement, there is an effect that the edge portion of the imagein the luminance signal corresponding to the license plate area isenhanced.

Also, in the first aspect, the license plate area image processing unitmay perform luminance signal conversion processing to convert the imagesignal corresponding to the license plate area to a luminance signalcorresponding to the license plate area and two-dimensional noisereduction processing to remove noise of the luminance signal byattenuating high-frequency components of luminance signals belonging tothe same frame. With this arrangement, there is an effect that noise ofthe image in the luminance signal corresponding to the license platearea is removed.

Also, in the first aspect, the vehicle body area image processing unitmay perform luminance/chrominance signal conversion processing toconvert the image signal corresponding to the vehicle body area to aluminance signal and a chrominance signal corresponding to the vehiclebody area and three-dimensional noise reduction processing to removenoise of the luminance signal and the chrominance signal by usingluminance signals and chrominance signals belonging to a plurality ofcontinuous frames. With this arrangement, there is an effect that noiseof the luminance signal and the chrominance signal corresponding to thevehicle body area is removed.

Also, in the first aspect, the image signal includes image signalscorresponding to red light, green light, blue light, and infrared light,and the vehicle body area image processing unit may perform processingof the image signals corresponding to the red light, the green light,and the blue light included in the image signal corresponding to thevehicle body area, and the license plate area image processing unit mayperform processing of an image signal corresponding to the infraredlight included in the image signal corresponding to the license platearea. With this arrangement, there is an effect that processing by thevehicle body area image processing unit is performed for the imagesignals corresponding to the red light, the green light, and the bluelight included in the image signal corresponding to the vehicle bodyarea and processing by the license plate area image processing unit isperformed for the image signal corresponding to the infrared lightincluded in the image signal corresponding to the license plate area.

Also, in the first aspect, the image signal further includes an imagesignal corresponding to white light, and the vehicle body area imageprocessing unit may perform processing of the image signalscorresponding to the red light, the green light, the blue light, and thewhite light included in the image signal corresponding to the vehiclebody area. With this arrangement, there is an effect that the processingby the vehicle body area image processing unit is performed for theimage signals corresponding to the red light, the green light, the bluelight, and the white light included in the image signal corresponding tothe vehicle body area.

Also, in the first aspect, the image signal includes image signalscorresponding to red light, green light, blue light, and infrared light,a saturation detection unit which detects whether an image signalcorresponding to the infrared light included in the image signal issaturated is further provided, and the license plate area imageprocessing unit may perform processing of the image signal correspondingto the infrared light included in the image signal corresponding to thelicense plate area in a case where the saturation detection unit detectsthat the image signal corresponding to the infrared light is notsaturated and may perform processing of the image signals correspondingto the red light, the green light, and the blue light included in theimage signal corresponding to the license plate area in a case where thesaturation detection unit detects that the image signal corresponding tothe infrared light is saturated. With this arrangement, there is aneffect that the license plate area image processing unit performsprocessing for the image signal corresponding to the infrared light in acase where the image signal corresponding to the infrared light is notsaturated and performs the processing for the image signalscorresponding to the red light, the green light, and the blue light in acase where the image signal corresponding to the infrared light issaturated.

Also, a second aspect of the present technology is an imaging deviceprovided with an image sensor which generates an image signal, a vehiclebody area detection unit which detects a vehicle body area of a vehiclefrom the image signal, a license plate area detection unit which detectsa license plate area of the vehicle from the image signal, a vehiclebody area image processing unit which performs processing of the imagesignal corresponding to the detected vehicle body area, a license platearea image processing unit which performs processing different from theprocessing of the image signal corresponding to the vehicle body area onthe image signal corresponding to the detected license plate area, and asynthesis unit which synthesizes the processed image signalcorresponding to the vehicle body area and the processed image signalcorresponding to the license plate area. With this arrangement, there isan effect that different processing is performed for the image signalcorresponding to the license plate area and the image signalcorresponding to the vehicle body area.

Also, a third aspect of the present technology is an image processingmethod provided with a vehicle body area detecting procedure to detect avehicle body area of a vehicle from an image signal, a license platearea detecting procedure to detect a license plate area of the vehiclefrom the image signal, a vehicle body area image processing procedure toperform processing of the image signal corresponding to the detectedvehicle body area, a license plate area image processing procedure toperform processing different from the processing of the image signalcorresponding to the vehicle body area on the image signal correspondingto the detected license plate area, and a synthesis procedure tosynthesize the processed image signal corresponding to the vehicle bodyarea and the processed image signal corresponding to the license platearea. With this arrangement, there is an effect that differentprocessing is performed for the image signal corresponding to thelicense plate area and the image signal corresponding to the vehiclebody area.

Effects of the Invention

According to the present technology, there is an excellent effect thatthe license plate is easily read and the color of the vehicle body iseasily obtained by improving the visibility of the license plate and thecolor reproducibility of the vehicle body. Meanwhile, the effect is notnecessarily limited to the effect herein described and may be any of theeffects described in the present disclosure.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 is a view illustrating a configuration example of an imagingdevice of an embodiment of the present technology.

FIG. 2 is a view illustrating a configuration example of an image sensor200 in the embodiment of the present technology.

FIG. 3 is a view illustrating a configuration example of an imageprocessing device 300 in a first embodiment of the present technology.

FIG. 4 is a view illustrating demosaic processing in the firstembodiment of the present technology.

FIG. 5 is a view illustrating a configuration example of a license platearea image processing unit 360 in the first embodiment of the presenttechnology.

FIG. 6 is a view illustrating two-dimensional noise reduction processingin the first embodiment of the present technology.

FIG. 7 is a view illustrating a configuration example of a vehicle bodyarea image processing unit 370 in the first embodiment of the presenttechnology.

FIG. 8 is a view illustrating three-dimensional noise reductionprocessing in the first embodiment of the present technology.

FIG. 9 is a view illustrating synthesis processing in the firstembodiment of the present technology.

FIG. 10 is a view illustrating an image display example in the firstembodiment of the present technology.

FIG. 11 is a view illustrating an example of an image processingprocedure in the first embodiment of the present technology.

FIG. 12 is a view illustrating an example of a procedure of vehiclebody/license plate area processing in the first embodiment of thepresent technology.

FIG. 13 is a view illustrating an example of a procedure of vehicle bodyarea image processing in the first embodiment of the present technology.

FIG. 14 is a view illustrating an example of a procedure of licenseplate area image processing in the first embodiment of the presenttechnology.

FIG. 15 is a view illustrating a configuration example of an imageprocessing device 300 in a second embodiment of the present technology.

FIG. 16 is a view illustrating a configuration example of a licenseplate area image processing unit 360 in the second embodiment of thepresent technology.

FIG. 17 is a view illustrating an example of a procedure of licenseplate area image processing in the second embodiment of the presenttechnology.

FIG. 18 is a view illustrating synthesis processing in a thirdembodiment of the present technology.

FIG. 19 is a view illustrating demosaic processing in a fourthembodiment of the present technology.

FIG. 20 is a view illustrating the demosaic processing in the fourthembodiment of the present technology.

MODE FOR CARRYING OUT THE INVENTION

Modes for carrying out the present technology (hereinafter, referred toas embodiments) are hereinafter described. The description is given inthe following order.

1. First Embodiment (Example of Case Where Image of License Plate AreaIs Processed by Using Infrared Light Signal)

2. Second Embodiment (Example of Case in Where Image of License PlateArea Is Processed by Using Infrared Light Signal or Visible LightSignal)

3. Third Embodiment (Example of Case Where Color of License Plate IsDisplayed)

4. Fourth Embodiment (Example of Case Where Image Sensor Including PixelCorresponding White Light Is Used)

5. Variation

1. First Embodiment

[Configuration of Imaging Device]

FIG. 1 is a view illustrating a configuration example of an imagingdevice in an embodiment of the present technology. An imaging device 10in this drawing is provided with a lens 100, an image sensor 200, animage processing device 300, an image signal output unit 400, aninfrared light emission unit 500, and a control unit 600.

The lens 100 optically forms an image of an object on the image sensor200. The image sensor 200 converts an optical image formed by the lens100 to an image signal to output. The image sensor 200 is configuredsuch that pixels which generate the image signal are arranged in atwo-dimensional manner on a surface on which the optical image isformed. The image signal output from the pixel includes a visible lightsignal corresponding to a visible light component and an infrared signalcorresponding to an infrared light component.

The following image sensor may be used as the image sensor 200 includingsuch pixels. For example, the image sensor including the pixel whichoutputs the image signal corresponding to red light and infrared light,the pixel which outputs the image signal corresponding to green lightand the infrared light, the pixel which outputs the image signalcorresponding to blue light and the infrared light, and the pixel whichoutputs the image signal corresponding to the infrared light may beused. For example, the image sensor including a total of five types ofpixels including the pixel which outputs the image signal correspondingto white light and the infrared light in addition to the above-describedpixels may also be used.

Hereinafter, the image signal corresponding to the red light and theinfrared light, the image signal corresponding to the green light andthe infrared light, and the image signal corresponding to the blue lightand the infrared light are referred to as an R+IR signal, a G+IR signal,and a B+IR signal, respectively. Also, the image signal corresponding tothe white light and the infrared light and the image signalcorresponding to the infrared light are referred to as a W+IR signal andan IR signal, respectively. Furthermore, the pixels which output theR+IR signal, the G+IR signal, the B+IR signal, the W+IR signal, and theIR signal are referred to as an R+IR pixel, a G+IR pixel, a B+IR pixel,a W+IR pixel, and an IR pixel, respectively. Each pixel is provided witha color filter so as to be configured as the pixel corresponding todifferent lights in this manner. A spectral characteristic of the colorfilter is allowed to correspond to specific light to form theabove-described four or five types of pixels.

The image processing device 300 processes the image signal. The imageprocessing device 300 converts the image signal output from the imagesensor 200 to a luminance signal and a chrominance signal and processesthe signals to output.

The image signal output unit 400 outputs the image signal processed bythe image processing device 300 out of the imaging device 10. The imagesignal output unit 400 converts the image signal so as to comply withstandards of a signal line interface to which the imaging device 10 isconnected to output.

The control unit 600 controls an entire imaging device 10. The infraredlight emission unit 500 irradiates the object with the infrared light.The infrared light emission unit 500 is controlled by the control unit600.

[Configuration of Image Sensor]

FIG. 2 is a view illustrating a configuration example of the imagesensor 200 in the embodiment of the present technology. Arrangement ofpixels 201 on a screen of the image sensor 200 is illustrated in thisdrawing. Meanwhile, a sign assigned to the pixel 201 indicates a type ofthe pixel 201. The pixels assigned with signs R+IR, G+IR, B+IR, W+IR,and IR are the R+IR pixel, the G+IR pixel, the B+IR pixel, the W+IRpixel, and the IR pixel, respectively. The pixels are arranged on thescreen according to a certain rule.

In a of this drawing, one of two G+IR pixels is replaced with the IRpixel in a Bayer array of the R+IR pixel, the G+IR pixel, and the B+IRpixel. The pixels corresponding to red, green, and blue are arranged ina balanced manner, so that the array has high color reproducibility. Inb of this drawing, the R+IR pixel, the B+IR pixel, and the IR pixel arearranged in positions other than a pixel position of the G+IR pixel in acheckered pattern array of the G+IR pixels. Since there are many pixelscorresponding to green, the array has high resolution. In c of thisdrawing, the R+IR pixel, the G+IR pixel, and the B+IR pixel are arrangedin positions other than the pixel position of the IR pixel in thecheckered pattern array of the IR pixels. Many IR pixels are arranged,so that the array has high resolution for the infrared light. In d ofthis drawing, the R+IR pixel, the G+IR pixel, the B+IR pixel, and the IRpixel are arranged in positions other than the pixel position of theW+IR pixel in the checkered pattern array of the W+IR pixels. Manypixels corresponding to white are arranged, so that the array has highsensitivity.

Meanwhile, the image sensor including the R+IR pixel, the G+IR pixel,the B+IR pixel, and the IR pixel illustrated in a to c of this drawingis supposed as the image sensor 200 in the first embodiment of thepresent technology.

[Configuration of Image Processing Device]

FIG. 3 is a view illustrating a configuration example of the imageprocessing device 300 in the first embodiment of the present technology.The image processing device 300 is provided with an image sensor controlunit 310, a motion image detection unit 320, a demosaicing unit 330, anda license plate area detection unit 340. Also, the image processingdevice 300 is further provided with a license plate area imageprocessing unit 360, a vehicle body area detection unit 350, a vehiclebody area image processing unit 370, and a synthesis unit 390.

The image sensor control unit 310 controls the image sensor 200. Theimage sensor control unit 310 performs focus control, exposure control,output control of the image signal and the like on the image sensor 200.

The motion image detection unit 320 detects an image area with motion inthe image signal output from the image sensor 200. A well-known method,for example, a method by block matching used in Moving Picture ExpertsGroup (MPEG) and the like may be used for detecting the image area withmotion.

The demosaicing unit 330 performs demosaic processing. The demosaicprocessing interpolates an insufficient image signal for the imagesignal of a single color output from the image sensor 200. The imagesignal per pixel increases to four signals of the R+IR signal, the G+IRsignal, the B+IR signal, and the IR signal by the demosaic processing.Also, the demosaicing unit 330 further performs infrared light componentremoval processing to remove the infrared light component from the R+IRsignal, the G+IR signal, and the B+IR signal. Herein, the signalsobtained by removing the infrared light component from the R+IR signal,the G+IR signal, and the B+IR signal are referred to as an R signal, a Gsignal, and a B signal, respectively. The infrared light componentremoval processing may be performed as represented by the followingequations, for example.R=R _(+IR) −IRG=G _(+IR) −IRB=B _(+IR) −IR

in which, R, G, B, and IR represent the R signal, the G signal, the Bsignal, and the IR signal, respectively. R_(+IR), G_(+IR), and B_(+IR)represent the R+IR signal, the G+IR signal, and the B+IR signal,respectively.

The vehicle body area detection unit 350 detects a vehicle body areafrom the image area with motion detected by the motion image detectionunit 320. It is possible to use a well-known method, for example, amethod of holding a gray-scale template in which the image of thevehicle body is illustrated as a gray-scale image and performing patternmatching of the input image and the gray-scale template to detect thevehicle body area.

The license plate area detection unit 340 detects a license plate areafrom the image area with motion detected by the motion image detectionunit 320. It is possible to use a well-known method for detecting thelicense plate area. For example, it is possible to use a method ofgenerating an image obtained by binarizing the image signal of thevehicle body and searching a portion coincident with a pattern arrayspecific to the license plate in the area of the image to detect alicense plate position.

The vehicle body area image processing unit 370 processes the imagesignal corresponding to the vehicle body area detected by the vehiclebody area detection unit 350. The vehicle body area image processingunit 370 performs processing to improve the color reproducibility of thevehicle body. The vehicle body area image processing will be describedlater in detail.

The license plate area image processing unit 360 processes the imagesignal corresponding to the license plate area detected by the licenseplate area detection unit 340. The license plate area image processingunit 360 performs processing different from the processing by thevehicle body area image processing unit 370 described above. That is tosay, this performs processing to improve visibility of the licenseplate. The license plate area image processing is described later indetail.

The synthesis unit 390 synthesizes the image signals processed by thevehicle body area image processing unit 370 and the license plate areaimage processing unit 360.

Meanwhile, each processing by the above-described image processingdevice 300 may be realized by hardware which performs the processing. Itis also possible to be equipped with a microcomputer and a DSP torealize as processing by software.

[Demosaic Processing]

FIG. 4 is a view illustrating the demosaic processing in the firstembodiment of the present technology. A case where the demosaicprocessing is performed on a pixel 202 is illustrated in this drawing.The pixel 202 being the B+IR pixel outputs the B+IR signal. The imagesignal corresponding to another color is interpolated in the pixelposition of the pixel 202. An example of a case where the G+IR signal isinterpolated in the pixel 202 is illustrated in a of this drawing. Anaverage value of the G+IR signals of the G+IR pixels arranged on rightand left sides of the pixel 202 is made the G+IR signal of the pixel202. An example of a case where the IR signal is interpolated in thepixel 202 is illustrated in b of this drawing. An average value of theIR signals of the IR pixels arranged above and below the pixel 202 ismade the IR signal of the pixel 202. An example of a case where the R+IRsignal is interpolated in the pixel 202 is illustrated in c of thisdrawing. An average value of the R+IR signals adjacent to the pixel 202in oblique directions of the pixel 202 is made the R+IR signal of thepixel 202. In this manner, in the demosaic processing in this drawing,the interpolation is performed by using only the image signals of theadjacent pixels. After the demosaic processing, the infrared lightcomponent removal processing is performed.

[License Plate Area Image Processing Unit]

FIG. 5 is a view illustrating a configuration example of the licenseplate area image processing unit 360 in the first embodiment of thepresent technology. The license plate area image processing unit 360 isprovided with a luminance signal conversion unit 362, an edgeenhancement unit 363, and a two-dimensional noise reduction unit 364.

The luminance signal conversion unit 362 converts the IR signal out ofthe image signal corresponding to the license plate area to a luminancesignal (Y signal). The conversion is performed as represented by thefollowing equation.Y=IR

in which, Y and IR represent the Y signal and the IR signal,respectively. In this manner, the luminance signal conversion unit 362converts the IR signal in the license plate area to the Y signal. Sincethe chrominance signal is not used, the image of the license plate areaafter the license plate area image processing is a monochrome image.

The edge enhancement unit 363 performs edge enhancement processing onthe Y signal in the license plate area. Meanwhile, an Y_edge signal inthis drawing represents the Y signal on which the edge enhancementprocessing is performed. The edge enhancement processing is processingto enhance the edge portion of the image. A well-known method may beused in the edge enhancement processing. For example, it is possible touse a method of detecting the edge portion from the image and improvingluminance of the detected edge portion to enhance the edge portion.

The two-dimensional noise reduction unit 364 performs two-dimensionalnoise reduction processing on the Y_edge signal. Meanwhile, a Y_nr2signal in this drawing represents the Y signal on which thetwo-dimensional noise reduction processing is performed. Herein, thenoise reduction processing is the processing to remove superimposednoise. Also, the two-dimensional noise reduction processing is theprocessing to remove the noise by attenuating high-frequency componentsof the image signals belonging to the same frame.

[Two-Dimensional Noise Reduction Processing]

FIG. 6 is a view illustrating the two-dimensional noise reductionprocessing in the first embodiment of the present technology. In thisdrawing, a case where an epsilon filter is used is illustrated as thetwo-dimensional noise reduction processing. A block diagram of thetwo-dimensional noise reduction processing is illustrated in a of thisdrawing. Meanwhile, the Y signal is input to an input signal line 303.When the input signal is allowed to pass through a high-pass filter 304and an epsilon filter 306, the high-frequency component is separatedfrom the input signal. Meanwhile, the epsilon filter 306 is the filterwhich removes a signal over a predetermined level from the input signal.Next, a subtracter 308 subtracts the separated high-frequency componentfrom the input signal. With this arrangement, the noise is removed.

This state is illustrated in b of this drawing. Meanwhile, signal lines305 and 307 are the signal lines connected to outputs of the high-passfilter 304 and the epsilon filter 306, respectively. Also, an outputsignal line 309 is the signal line connected to an output of thetwo-dimensional noise reduction unit 364. In the two-dimensional noisereduction processing with poor noise removal ability as compared to thatin three-dimensional noise reduction processing to be described later,blur in the edge portion of the image is relatively small, and this mayprevent deterioration in visibility. Meanwhile, in the first embodimentof the present technology, the two-dimensional noise reductionprocessing other than this, for example, processing by a bilateralfilter and processing by smoothing may also be used.

It is possible to make the image of the license plate area the imagewith improved visibility although this is the monochrome image by theedge enhancement processing and the two-dimensional noise reductionprocessing.

[Vehicle Body Area Image Processing Unit]

FIG. 7 is a view illustrating a configuration example of the vehiclebody area image processing unit 370 in the first embodiment of thepresent technology. The vehicle body area image processing unit 370 isprovided with a luminance/chrominance signal conversion unit 372, atwo-dimensional noise reduction unit 374, and a three-dimensional noisereduction unit 375.

The luminance/chrominance signal conversion unit 372 converts the R, G,and B signals out of the image signal corresponding to the vehicle bodyarea to the luminance signal (Y signal) and the chrominance signal (Cband Cr signals). Meanwhile, the Cb signal is the signal based ondifference between the B signal and the Y signal and the Cr signal isthe signal based on difference between the R signal and the Y signal.The conversion may be performed as represented by the followingequations.Y=0.2990×R+0.5870×G+0.1140×BCb=−0.1690×R−0.3316×G+0.5000×BCr=0.5000×R−0.4186×G−0.0813×B

The two-dimensional noise reduction unit 374 performs theabove-described two-dimensional noise reduction processing. Thetwo-dimensional noise reduction unit 374 performs the two-dimensionalnoise reduction processing on the Y, Cb, and Cr signals output from theluminance/chrominance signal conversion unit 372. Meanwhile, Y_nr2,Cb_nr2, and Cr_nr2 signals in this drawing represent the Y, Cb, and Crsignals on which the two-dimensional noise reduction processing isperformed, respectively.

The three-dimensional noise reduction unit 375 performs thethree-dimensional noise reduction processing. The three-dimensionalnoise reduction unit 375 performs the three-dimensional noise reductionprocessing on the Y_nr2, Cb_nr2, and Cr_nr2 signals output from thetwo-dimensional noise reduction unit 374. The three-dimensional noisereduction processing is the processing to remove the noise by using theimage signals belonging to a plurality of continuous frames. Meanwhile,Y_nr3, Cb_nr3, and Cr_nr3 signals in this drawing represent the Y, Cb,and Cr signals on which the three-dimensional noise reduction processingis performed, respectively.

[Three-Dimensional Noise Reduction Processing]

FIG. 8 is a view illustrating the three-dimensional noise reductionprocessing in the first embodiment of the present technology. Images 701to 703 in this drawing are the images corresponding to the vehicle bodyarea. As illustrated in this drawing, the image signals of the imagescorresponding to the vehicle body area of K continuous frames are addedby an adder 378. Thereafter, this is divided by K being the number ofadded image signals by a divider 379 and an output image 704 isgenerated. With this arrangement, it is possible to average randomlygenerated noise components to perform noise reduction. Thethree-dimensional noise reduction processing has a characteristic inwhich a noise removal effect increases as the number of image signals tobe added K is larger, so that this may have the noise removal abilitymore excellent than that of the two-dimensional noise reductionprocessing. On the other hand, as the number of image signals to beadded K is larger, the image is equalized and an image quality isproblematically deteriorated; for example, the image is blurred.However, as for the vehicle body area, certain deterioration in imagequality is allowed as long as the color may be reproduced, so that thisis not problematic.

Also in a case where the three-dimensional noise reduction processing isperformed on the image with motion, the image quality is similarlydeteriorated. Therefore, it is possible to prevent the deterioration inimage quality by compensating the motion of the vehicle body andperforming the above-described addition. As for the motion compensation,a well-known method, for example, a motion compensating method used inthe MPEG may be used.

It is possible to make the image of the vehicle body area the image withimproved color reproducibility by the two-dimensional noise reductionprocessing and the three-dimensional noise reduction processing.

[Synthesis Processing]

FIG. 9 is a view illustrating synthesis processing in the firstembodiment of the present technology. A state of the image signal ineach unit of the image processing device 300 and the synthesisprocessing by the synthesis unit 390 are illustrated in this drawing.The image signal forming an image 705 including the vehicle is input tothe motion image detection unit 320 and the image signal correspondingto an image with motion 706 is output. The image signal is processed bythe vehicle body area detection unit 350 and the vehicle body area imageprocessing unit 370 to be the image signal corresponding to an image 707in which the color reproducibility of the vehicle body is improved. Inparallel to this, the image signal corresponding to the image withmotion 706 is processed by the license plate area detection unit 340 andthe license plate area image processing unit 360 to be the image signalcorresponding to an image 708 in which the visibility of the licenseplate is improved.

The two image signals are synthesized by the synthesis unit 390 to beoutput. Meanwhile, an image 709 is the synthesized image. The synthesisby the synthesis unit 390 may be performed in the following manner, forexample. The input image 705 is made a background image and the image ofthe vehicle body area 707 and the image of the license plate area 708are superimposed on the image and the image 709 is synthesized. Withthis arrangement, the image in which the color reproducibility isimproved regarding the vehicle body area and the image in which thevisibility is improved regarding the license plate area are displayed asthe same image. Meanwhile, in a case where the license plate area is notdetected by the license plate area detection unit 340, the synthesisunit 390 superimposes only the image of the vehicle body area 707 on thebackground image to synthesize.

[Display of Image]

FIG. 10 is a view illustrating an image display example in the firstembodiment of the present technology. An example of image displayincluding an image display area 711 and an image information displayarea 712 is illustrated in a of this drawing. The image display area 711is the area in which the image formed of the image signal output by thesynthesis unit 390 is displayed and the image including an image 715processed by the vehicle body area image processing unit 370 and animage 716 processed by the license plate area image processing unit 360is displayed. The image information display area 712 is an area in whichinformation such as date is displayed. An example of display obtained byfurther adding a license plate display area 713 to the display in a ofthis drawing is illustrated in b of this drawing. An image 714 obtainedby enlarging the image 716 is displayed on the license plate displayarea 713. Therefore, in the display in b of this drawing, a characterstring of the license plate is easily read.

[Image Processing Procedure]

FIG. 11 is a view illustrating an example of an image processingprocedure in the first embodiment of the present technology. Whenreceiving the image signal of one frame input from the image sensor 200,the image processing device 300 starts this processing. First, themotion image detection unit 320 detects the image area with motion fromthe input image signal (step S901). At that time, in a case where theimage area with motion is not detected (step S902: No), the imageprocessing device 300 shifts to processing at step S906 and outputs theinput image signal to the image signal output unit 400 (step S906).

On the other hand, in a case where the image area with motion isdetected (step S902: Yes), the vehicle body area detection unit 350detects the vehicle body area (step S903). At that time, in a case wherethe vehicle body area is not detected (step S904: No), the imageprocessing device 300 shifts to the processing at step S906 and outputsthe input image signal to the image signal output unit 400 (step S906).

On the other hand, in a case where the vehicle body area is detected(step S904: Yes), the license plate area detection unit 340 detects thelicense plate area (step S905). Next, the image processing device 300performs vehicle body/license plate area processing (step S910) andshifts to the processing at step S906. At step S906, the imageprocessing device 300 outputs the image obtained at step S910 to theimage signal output unit 400 (step S906). Thereafter, the imageprocessing device 300 finishes the image processing.

[Vehicle Body/License Plate Area Processing]

FIG. 12 is a view illustrating an example of a procedure of the vehiclebody/license plate area processing in the first embodiment of thepresent technology. The processing in this drawing is the processingcorresponding to step S910 illustrated in FIG. 11. First, the vehiclebody area image processing unit 370 performs the vehicle body area imageprocessing (step S920). Next, the license plate area image processingunit 360 performs the license plate area image processing (step S930).Next, the synthesis unit 390 synthesizes the images processed by thevehicle body area image processing and the license plate area imageprocessing (step S913). At that time, in a case where the license platearea is not detected by the license plate area detection unit 340, thesynthesis unit 390 synthesizes by using the image processed by thevehicle body area image processing. Thereafter, the image processingdevice 300 finishes the vehicle body/license plate area processing.

[Vehicle Body Area Image Processing]

FIG. 13 is a view illustrating an example of a procedure of the vehiclebody area image processing in the first embodiment of the presenttechnology. The processing in this drawing is the processingcorresponding to step S920 illustrated in FIG. 12. First, the vehiclebody area image processing unit 370 converts the R, G, and B signals tothe luminance signal and the chrominance signal (step S923). Next, thevehicle body area image processing unit 370 performs the two-dimensionalnoise reduction processing (step S925). Next, the vehicle body areaimage processing unit 370 performs the three-dimensional noise reductionprocessing (step S926) and finishes the vehicle body area imageprocessing.

[License Plate Area Image Processing]

FIG. 14 is a view illustrating an example of a procedure of the licenseplate area image processing in the first embodiment of the presenttechnology. The processing in this drawing is the processingcorresponding to step S930 illustrated in FIG. 12. First, the licenseplate area image processing unit 360 converts the IR signal to theluminance signal (step S932). Next, the license plate area imageprocessing unit 360 performs the edge enhancement processing (stepS934). Next, the license plate area image processing unit 360 performsthe two-dimensional noise reduction processing (step S935) and finishesthe license plate area image processing.

In this manner, according to the first embodiment of the presenttechnology, it is possible to improve the visibility of the licenseplate and the color reproducibility of the vehicle body, so that thevehicle to be monitored may be easily specified. Also, it is possible toform the imaging device 10 of a signal image sensor by using the imagesensor 200 corresponding to both the visible light and the infraredlight and separately processing the visible light signal and theinfrared light signal. With this arrangement, the configuration of theimaging device 10 may be simplified.

[Variation]

A license plate area detection unit 340 detects a license plate areafrom an image signal processed by a demosaicing unit 330 in theabove-described embodiment. On the other hand, it is also possible todetect the license plate area from the image signal corresponding to avehicle body area detected by a vehicle body area detection unit 350.This is because the license plate area is included in the vehicle bodyarea. With this arrangement, an area of the image to be processed by thelicense plate area detection unit 340 is limited and processing time maybe shortened.

2. Second Embodiment

An image of a license plate area is processed by using an IR signal inthe above-described embodiment. On the other hand, in a secondembodiment of the present technology, when the IR signal is saturated,the image of the license plate area is processed by using visible lightsignals (R, G, and B signals).

[Configuration of Image Processing Device]

FIG. 15 is a view illustrating a configuration example of an imageprocessing device 300 in the second embodiment of the presenttechnology. The image processing device 300 in this drawing is differentfrom the image processing device 300 illustrated in FIG. 3 in that thisis further provided with a saturation detection unit 380.

Also, it is required to use an image sensor including pixelscorresponding to red light, green light, blue light and infrared lightas an image sensor 200 in the second embodiment of the presenttechnology. Furthermore, it is required that the pixel corresponding tothe red light, the green light, or the blue light is provided with acolor filter which removes the infrared light. That is to say, it isrequired to use the image sensor having an array illustrated in a to cof FIG. 2 out of the image sensors illustrated in FIG. 2. Furthermore,it is required to use the image sensor in which the pixels assigned withR+IR, G+IR, and B+IR are configured to detect the red light, the greenlight, and the blue light, respectively, and not to detect an infraredlight component. This is because the R+IR pixel, the G+IR pixel, and theB+IR pixel of the image sensor illustrated in FIG. 2 also havesensitivity for the infrared light component, so that the image signalsoutput from all the pixels including the IR pixel are saturated whenexcessive infrared light enters.

The image signal output by the image sensor 200 in the second embodimentof the present technology includes the R signal, the G signal, the Bsignal, and the IR signal, so that a demosaicing unit 330 may omitinfrared component removal processing described above. Theconfigurations of the imaging device 10 and the image processing device300 other than this are similar to those of the imaging device 10 andthe image processing device 300 described in the first embodiment of thepresent technology, so that the description thereof is omitted.

The saturation detection unit 380 detects whether the IR signal issaturated. Since an image sensor control unit 310 controls exposure inthe above-described manner, the IR signal is not saturated in general.However, when shooting while an infrared light emission unit 500 emitsthe infrared light, if a distance between a vehicle being an object andthe imaging device 10 is short, the IR signal is temporarily saturated.In such a case also, it is possible to obtain the image signal in astate in which the IR signal is not saturated by the exposure control bythe image sensor control unit 310. However, in a case where the vehicleapproaches at a high speed, the exposure control by the image sensorcontrol unit 310 cannot follow this and only the image signal in a statein which the IR signal is saturated is obtained. In such a case, thesaturation detection unit 380 detects the saturation of the IR signal.

The license plate area image processing unit 360 in the secondembodiment of the present technology performs image processing of thelicense plate area on the basis of a result of the detection by thesaturation detection unit 380.

[Configuration of License Plate Area Image Processing Unit]

FIG. 16 is a view illustrating a configuration example of a licenseplate area image processing unit 360 in the second embodiment of thepresent technology. The license plate area image processing unit 360 isdifferent from the license plate area image processing unit 360illustrated in FIG. 5 in that this is provided with a luminance signalconversion unit 366 in place of a luminance signal conversion unit 362.

The luminance signal conversion unit 366 converts the R signal, the Gsignal, the B signal, and the IR signal to a Y signal. At that time,different conversion is performed on the basis of the result of thedetection by the saturation detection unit 380. The conversion may beperformed as follows.

(a) When the saturation of the IR signal is detected by the saturationdetection unit 380.

The conversion is performed as represented by the following equation byusing the R signal, the G signal, and the B signal.Y=0.2990×R+0.5870×G+0.1140×B

(b) When the saturation of the IR signal is not detected by thesaturation detection unit 380.

The conversion is performed as represented by the following equation byusing the IR signal.Y=IR

In this manner, the luminance signal conversion unit 366 different fromthe luminance signal conversion unit 362 illustrated in FIG. 5 convertsthe R signal, the G signal, and the B signal to the Y signal when the IRsignal is saturated. Therefore, it is possible to prevent halation of adisplay of a license plate area in a case where the IR signal issaturated. With this arrangement, it is possible to improve visibilityof the license plate.

[License Plate Area Image Processing]

FIG. 17 is a view illustrating an example of a procedure of a licenseplate area image processing in the second embodiment of the presenttechnology. The processing in the drawing is the processingcorresponding to the license plate area image processing illustrated inFIG. 12. Meanwhile, the procedure of the image processing other thanthis is similar to the procedure described in the first embodiment ofthe present technology, so that the description thereof is omitted.

First, the license plate area image processing unit 360 determineswhether the IR signal is saturated (step S951). Specifically, thisdetermines whether the saturation detection unit 380 detects thesaturation of the IR signal. In a case where the IR signal is notsaturated (step S951: No), the license plate area image processing unit360 converts the IR signal to the luminance signal (step S952) andshifts to processing at step S954. On the other hand, in a case wherethe IR signal is saturated (step S951: Yes), the license plate areaimage processing unit 360 converts the R signal, the G signal, and the Bsignal to the luminance signal (step S953) and shifts to the processingat step S954. At step S954, the license plate area image processing unit360 performs edge enhancement processing (step S954). Next, the licenseplate area image processing unit 360 performs the two-dimensional noisereduction processing (step S955) and finishes the license plate areaimage processing.

In this manner, according to the second embodiment of the presenttechnology, it is possible to prevent deterioration in visibility of alicense plate in a case where the IR signal is saturated.

[Variation]

In the above-described second embodiment, emission of infrared light byan infrared light emission unit 500 is not controlled in a case where anIR signal is saturated. On the other hand, it is also possible that acontrol unit 600 controls the infrared light emission unit 500 todecrease an emission amount of the infrared light when a saturationdetection unit 380 of an image processing device 300 detects saturationof the IR signal. With this arrangement, an appropriate infrared lightemission amount may be obtained and it is possible to preventdeterioration in visibility of a license plate.

3. Third Embodiment

In the above-described embodiment, an image of a license plate area issuperimposed on an image of a vehicle body area to synthesize. On theother hand, in a third embodiment of the present technology,superimposition of the image of the license plate area on the image ofthe vehicle body area is omitted.

[Synthesis Processing]

FIG. 18 is a view illustrating synthesis processing in the thirdembodiment of the present technology. The synthesis processing in thefirst embodiment of the present technology is illustrated in a of thisdrawing for comparison. In a of this drawing, a synthesis unit 390superimposes an image of the license plate area 708 on an image of thevehicle body area 707 to display on an image display area 711.Therefore, a monochrome image of the license plate area is overwrittenon a license plate portion of the image 707 and it is not possible tospecify a color of the license plate.

The synthesis processing in the third embodiment of the presenttechnology is illustrated in b of this drawing in which thesuperimposition of the image of the license plate area on the image ofthe vehicle body area 707 is omitted. Therefore, color reproducibilityof the license plate area of the image of the vehicle body area 707 isimproved as in another vehicle body area, and it is possible to specifythe color of the license plate. Meanwhile, the image of the licenseplate area 708 is displayed on a license plate display area 713.

In this manner, according to the third embodiment of the presenttechnology, it is possible to specify the color of the license platetogether with the color of the vehicle body.

4. Fourth Embodiment

In the above-described embodiment, an image sensor 200 which does notinclude a pixel corresponding to white light is used. On the other hand,in the fourth embodiment of the present technology, the image sensor 200including the pixel corresponding to the white light is used.

[Configuration of Imaging Device and Image Processing Device]

An imaging device 10 in the fourth embodiment of the present technologyuses an image sensor having arrangement of pixels illustrated in d ofFIG. 2 as the image sensor 200. Also, a motion image detection unit 320and a demosaicing unit 330 of an image processing device 300 in thefourth embodiment of the present technology are required to performprocessing on an image signal including a W+IR signal. A configurationof the imaging device 10 other than this is similar to that of theimaging device 10 described in the first embodiment of the presenttechnology, so that the description thereof is omitted.

[Demosaic Processing]

FIGS. 19 and 20 are views illustrating demosaic processing in the fourthembodiment of the present technology. FIG. 19 illustrates arrangement ofpixels of the image sensor 200 and a case where a signal other than aG+IR signal is interpolated in a pixel 203 arranged on the center issupposed. An example of a case where an R+IR signal is interpolated isillustrated in a of FIG. 20. In this manner, an average value of thesignals of the R+IR pixels around the pixel 203 is made the R+IR signalin the pixel 203. This average is calculated by weighted average by theR+IR signals. A predetermined weight is multiplied by each R+IR signal.The weight is larger as the pixel is closer to the pixel 203. That is tosay, in a of FIG. 20, the weight larger than that of a pixel 205arranged in a relatively distant position is set for a pixel 204adjacent to the pixel 203.

The image signal interpolated in this manner is represented with anindex “_L”. That is to say, signals after the interpolation of the R+IRsignal, the G+IR signal, a B+IR signal, the W+IR signal, and an IRsignal are an R+IR_L signal, a G+IR_L signal, a B+IR_L signal, a W+IR_Lsignal, and an IR_L signal, respectively. The signals are average valuesof the image signals of a relatively wide range, so that they are theimage signals from which a high-frequency component is lost. Therefore,when the processing is performed by using the signals, the image signalcorresponding to a vehicle body area forms the image with a blurredcontour.

The interpolation to generate the signal including many high-frequencycomponents for the W+IR signal is illustrated in b of FIG. 20. The W+IRpixels more than other pixels are arranged, so that it is possible touse a method similar to an interpolating method illustrated in FIG. 4.That is to say, an average value of the signals of the W+IR pixelsadjacent to the pixel 203 may be made the W+IR signal in the pixel 203.The W+IR signal interpolated in this manner is referred to as W+IR_H.The signal is the average value of the image signals of the adjacentpixels, so that this is the image signal including many high-frequencycomponents. The W+IR signals include signals of wavelengths in a widerange from visible light to infrared light, and it is possible torestore the high-frequency component for another signal after demosaicprocessing by using this signal as described later.

Next, an IR signal component is removed from the R+IR_L signal, theG+IR_L signal, and the B+IR_L signal. This may be performed bysubtracting the IR_L signal from the R+IR_L signal, the G+IR_L signal,and the B+IR_L as in the method described in the first embodiment of thepresent technology. The image signals obtained by removing the IR signalcomponent are referred to as an R_L signal, a G_L signal, and a B_Lsignal.

Next, the high-frequency component of the R_L signal, the G_L signal,and the B_L signal is restored. This may be performed as represented bythe following equations.R=R_L+W _(+IR)_H×R_L/W _(+IR)_LG=G_L+W _(+IR)_H×G_L/W _(+IR)_LB=B_L+W _(+IR)_H×B_L/W _(+IR)_L

in which, W_(+IR)_H and W_(+IR)_L represent the W+IR_H signal and theW+IR_L signal, respectively. Also, R_L, G_L, and B_L represent an R_Lsignal, a G_L signal, and a B_L signal, respectively. With thisarrangement, it is possible to obtain an R signal, a G signal, and a Bsignal in which the high-frequency component is restored. Since theimage signal corresponding to the vehicle body area is processed by thesignals, it is possible to obtain the image signal of the vehicle bodyarea with improved blur and visibility.

In this manner, according to the fourth embodiment of the presenttechnology, the visibility of the vehicle body area together with colorreproducibility may be improved in a case where the image sensor 200including the image signal corresponding to the white light is used.

5. Variation

A single image sensor 200 is used in the above-described embodiment. Itis also possible to use two image sensors which are the image sensorcorresponding to visible light and that corresponding to infrared light.This is because an optimal exposure condition may be obtained bycontrolling exposure for each of the image sensor corresponding to thevisible light and the image sensor corresponding to the infrared light.Meanwhile, in a variation of the embodiment of the present technology,it is required to guide incident light of an imaging device 10 to thetwo image sensors by a prism, a half mirror and the like.

It is also possible to provide a saturation detection unit 380illustrated in FIG. 15 together with the two image sensors. In a casewhere an IR signal is saturated, it is possible to improve visibility ofa license plate area by a visible light signal. Meanwhile, it is alsopossible to remove an effect of the infrared light by mounting aninfrared cutting filter on the image sensor corresponding to the visiblelight.

As described above, according to the embodiment of the presenttechnology, it becomes possible to read a license plate and obtain acolor of a vehicle body by improving the visibility of the license plateand color reproducibility of the vehicle body. With this arrangement, avehicle to be monitored may be easily specified.

Meanwhile, the above-described embodiments describe an example ofembodying the present technology, and there is a correspondencerelationship between matters in the embodiments and the mattersspecifying the invention in claims. Similarly, there is thecorrespondence relationship between the matters specifying the inventionin claims and the matters in the embodiments of the present technologyhaving the same name. However, the present technology is not limited tothe embodiments and may be embodied with various modifications of theembodiments without departing from the spirit thereof.

The procedures described in the above-described embodiments may beconsidered as a method having a series of procedures and may beconsidered as a program for allowing a computer to execute the series ofprocedures or a recording medium which stores the program. A compactdisc (CD), a MiniDisc (MD), a digital versatile disc (DVD), a memorycard, a Blu-ray™ Disc and the like may be used, for example, as therecording medium.

Meanwhile, the effect described in this specification is illustrativeonly and is not limitative; there may also be another effect.

Meanwhile, the present technology may also have the followingconfigurations.

(1) An image processing device including:

a vehicle body area detection unit which detects a vehicle body area ofa vehicle from an image signal;

a license plate area detection unit which detects a license plate areaof the vehicle from the image signal;

a vehicle body area image processing unit which performs processing ofthe image signal corresponding to the detected vehicle body area;

a license plate area image processing unit which performs processingdifferent from the processing of the image signal corresponding to thevehicle body area on the image signal corresponding to the detectedlicense plate area; and

a synthesis unit which synthesizes the processed image signalcorresponding to the vehicle body area and the processed image signalcorresponding to the license plate area.

(2) The image processing device according to (1) described above, inwhich the license plate area image processing unit performs luminancesignal conversion processing to convert the image signal correspondingto the license plate area to a luminance signal corresponding to thelicense plate area and edge enhancement processing to enhance an edgeportion of an image in the luminance signal.

(3) The image processing device according to (1) described above, inwhich the license plate area image processing unit performs luminancesignal conversion processing to convert the image signal correspondingto the license plate area to a luminance signal corresponding to thelicense plate area and two-dimensional noise reduction processing toremove noise of the luminance signal by attenuating high-frequencycomponents of luminance signals belonging to the same frame.

(4) The image processing device according to (1) described above, inwhich the vehicle body area image processing unit performsluminance/chrominance signal conversion processing to convert the imagesignal corresponding to the vehicle body area to a luminance signal anda chrominance signal corresponding to the vehicle body area andthree-dimensional noise reduction processing to remove noise of theluminance signal and the chrominance signal by using luminance signalsand chrominance signals belonging to a plurality of continuous frames.

(5) The image processing device according to (1) to (4) described above,in which

the image signal includes image signals corresponding to red light,green light, blue light, and infrared light,

the vehicle body area image processing unit performs processing of theimage signals corresponding to the red light, the green light, and theblue light included in the image signal corresponding to the vehiclebody area, and

the license plate area image processing unit performs processing of animage signal corresponding to the infrared light included in the imagesignal corresponding to the license plate area.

(6) The image processing device according to (5) described above, inwhich

the image signal further includes an image signal corresponding to whitelight, and

the vehicle body area image processing unit performs processing of theimage signals corresponding to the red light, the green light, the bluelight, and the white light included in the image signal corresponding tothe vehicle body area.

(7) The image processing device according to (1) described above, inwhich

the image signal includes image signals corresponding to red light,green light, blue light, and infrared light,

the image processing device further including a saturation detectionunit which detects whether an image signal corresponding to the infraredlight included in the image signal is saturated, and

the license plate area image processing unit performs processing of theimage signal corresponding to the infrared light included in the imagesignal corresponding to the license plate area in a case where thesaturation detection unit detects that the image signal corresponding tothe infrared light is not saturated and performs processing of the imagesignals corresponding to the red light, the green light, and the bluelight included in the image signal corresponding to the license platearea in a case where the saturation detection unit detects that theimage signal corresponding to the infrared light is saturated.

(8) An imaging device including:

an image sensor which generates an image signal;

a vehicle body area detection unit which detects a vehicle body area ofa vehicle from the image signal;

a license plate area detection unit which detects a license plate areaof the vehicle from the image signal;

a vehicle body area image processing unit which performs processing ofthe image signal corresponding to the detected vehicle body area;

a license plate area image processing unit which performs processingdifferent from the processing of the image signal corresponding to thevehicle body area on the image signal corresponding to the detectedlicense plate area; and

a synthesis unit which synthesizes the processed image signalcorresponding to the vehicle body area and the processed image signalcorresponding to the license plate area.

(9) An image processing method including:

a vehicle body area detecting procedure to detect a vehicle body area ofa vehicle from an image signal;

a license plate area detecting procedure to detect a license plate areaof the vehicle from the image signal;

a vehicle body area image processing procedure to perform processing ofthe image signal corresponding to the detected vehicle body area;

a license plate area image processing procedure to perform processingdifferent from the processing of the image signal corresponding to thevehicle body area on the image signal corresponding to the detectedlicense plate area; and

a synthesis procedure to synthesize the processed image signalcorresponding to the vehicle body area and the processed image signalcorresponding to the license plate area.

REFERENCE SIGNS LIST

-   10 Imaging device-   100 Lens-   200 Image sensor-   201 to 205 Pixel-   300 Image processing device-   304 High-pass filter-   306 Epsilon filter-   308 Subtracter-   310 Image sensor control unit-   320 Motion image detection unit-   330 Demosaicing unit-   340 License plate area detection unit-   350 Vehicle body area detection unit-   360 License plate area image processing unit-   362, 366 Luminance signal conversion unit-   363 Edge enhancement unit-   364, 374 Two-dimensional noise reduction unit-   370 Vehicle body area image processing unit-   372 Luminance/chrominance signal conversion unit-   375 Three-dimensional noise reduction unit-   378 Adder-   379 Divider-   380 Saturation detection unit-   390 Synthesis unit-   400 Image signal output unit-   500 Infrared light emission unit-   600 Control unit

The invention claimed is:
 1. An image processing device comprising: avehicle body area detector configured to perform object motion detectionto detect a first portion of an image signal, the first portion of theimage signal corresponding to a vehicle body area of an image; a licenseplate area detector configured to detect a second portion of the imagesignal, the second portion of the image signal corresponding to alicense plate area of the image; a processor configured to perform afirst processing on the first portion of the image signal correspondingto the vehicle body area to modify first pixels corresponding to thevehicle body area of the image, and to perform a second processing onthe second portion of the image signal corresponding to the licenseplate area to modify second pixels corresponding to the license platearea of the image, the first processing being different from the secondprocessing; and a synthesizer configured to synthesize a processed imagesignal corresponding to the vehicle body area modified by the firstprocessing and a processed image signal corresponding to the licenseplate area modified by the second processing.
 2. The image processingdevice according to claim 1, wherein the second processing includesluminance signal conversion processing to convert the second portion ofthe image signal corresponding to the license plate area to a luminancesignal corresponding to the license plate area.
 3. The image processingdevice according to claim 2, wherein the second processing includes edgeenhancement processing to enhance an edge portion of the luminancesignal corresponding to the license plate area.
 4. The image processingdevice according to claim 2, wherein the second processing includestwo-dimensional noise reduction processing to remove noise in theluminance signal corresponding to the license plate area by attenuatinghigh-frequency components of luminance signals belonging to a sameframe.
 5. The image processing device according to claim 1, wherein theimage signal includes image signals corresponding to red light, greenlight, blue light, and infrared light, the first processing includesprocessing of the image signals corresponding to the red light, thegreen light, and the blue light included in the first portion of theimage signal corresponding to the vehicle body area, and the secondprocessing includes processing of the image signal corresponding to theinfrared light included in the second portion of the image signalcorresponding to the license plate area.
 6. The image processing deviceaccording to claim 5, wherein the image signal further includes an imagesignal corresponding to white light, and the first processing includesprocessing of the image signals corresponding to the red light, thegreen light, the blue light, and the white light included in the firstportion of the image signal corresponding to the vehicle body area. 7.The image processing device according to claim 1, wherein the imagesignal includes image signals corresponding to red light, green light,blue light, and infrared light, the image processing device furthercomprises a saturation detector configured to detect whether the imagesignal corresponding to the infrared light included in the image signalis saturated, and the second processing includes: (i) processing of theimage signal corresponding to the infrared light included in the secondportion of the image signal corresponding to the license plate area in acase where the saturation detector detects that the image signalcorresponding to the infrared light is not saturated, and (ii)processing of the image signals corresponding to the red light, thegreen light, and the blue light included in second portion of the imagesignal corresponding to the license plate area in a case where thesaturation detector detects that the image signal corresponding to theinfrared light is saturated.
 8. The image processing device according toclaim 1, wherein any combination of the vehicle body area detector, thelicense plate area detector, and the processor is implemented usinghardware.
 9. The image processing device according to claim 1, whereinthe image processing device further comprises a microcomputer coupled toa digital signal processor (DSP), and wherein any combination of thevehicle body area detector, the license plate area detector, and theprocessor is implemented using software executable by the microcomputer.10. An image processing device comprising: a vehicle body area detectorconfigured to perform object motion detection to detect a first portionof an image signal, the first portion of the image signal correspondingto a vehicle body area of an image; a license plate area detectorconfigured to detect a second portion of the image signal, the secondportion of the image signal corresponding to a license plate area of theimage; and a processor configured to perform a first processing on thefirst portion of the image signal corresponding to the vehicle body areato modify first pixels corresponding to the vehicle body area of theimage, and to perform a second processing on the second portion of theimage signal corresponding to the license plate area to modify secondpixels corresponding to the license plate area of the image, the firstprocessing being different from the second processing, wherein the firstprocessing includes luminance/chrominance signal conversion processingto convert the first portion of the image signal corresponding to thevehicle body area to a luminance signal corresponding to the vehiclebody area and a chrominance signal corresponding to the vehicle bodyarea.
 11. The image processing device according to claim 10, wherein thefirst processing includes three-dimensional noise reduction processingto remove noise in the luminance signal corresponding to the vehiclebody area and the chrominance signal corresponding to the vehicle bodyarea by using luminance signals and chrominance signals belonging to aplurality of continuous frames.
 12. An imaging device comprising: animage sensor configured to generate an image signal; and imageprocessing circuitry configured to: perform object motion detection todetect a portion of the image signal corresponding to a vehicle bodyarea of an image; detect a portion of the image signal corresponding toa license plate area of the image; perform a first processing on thefirst portion of the image signal corresponding to the vehicle body areato modify first pixels corresponding to the vehicle body area of theimage; perform a second processing on the second portion of the imagesignal corresponding to the license plate area to modify second pixelscorresponding to the license plate area of the image, the secondprocessing being different from the first processing; and synthesize aprocessed image signal corresponding to the vehicle body area modifiedby the first processing and a processed image signal corresponding tothe license plate area modified by the second processing.
 13. An imageprocessing method comprising: performing object motion detection todetect a first portion of an image signal, the first portion of theimage signal corresponding to a vehicle body area of an image; detectinga second portion of the image signal, the second portion of the imagesignal corresponding to a license plate area of the image; performing afirst processing on the first portion of the image signal correspondingto the vehicle body area to modify first pixels corresponding to thevehicle body area of the image; performing a second processing on thesecond portion of the image signal corresponding to the license platearea to modify second pixels corresponding to the license plate area ofthe image, the second processing being different from the firstprocessing; and synthesizing a processed image signal corresponding tothe vehicle body area modified by the first processing and a processedimage signal corresponding to the license plate area modified by thesecond processing.